Fluent
Automate data exploration with natural language questions

About
Fluent is an AI-powered platform designed to simplify data exploration by making it accessible through natural language. Users can enter questions in plain English, and the system will analyze organizational data to deliver immediate, relevant insights. This method eliminates the traditional complexity of writing advanced queries and navigating dense dashboards.
The platform enables real-time collaboration, letting team members discuss, refine, and share findings easily within the same workspace. Fluent's integration with communication tools like Slack and Microsoft Teams brings data-driven discussions into everyday workflows, ensuring that actionable insights are just a message away. Robust security measures and customizable data governance options protect sensitive information while enabling flexible access controls.
Fluent suits organizations aiming to make data analysis a routine part of decision-making. It streamlines processes for both technical and non-technical roles, helping businesses react faster to trends and drive better results through collaborative, accessible analytics.
Who is Fluent made for?
Fluent is best suited for professionals who need quick, self-service analytics without relying on data engineering teams. Data analysts and business analysts can use it to reduce time spent on routine queries and focus on deeper analysis. Product managers and executives benefit from being able to ask data-related questions on demand, supporting faster strategic and operational decisions.
Mid-sized companies, established startups, and organizations with distributed or cross-functional teams will find value in its collaborative features and security protocols. Departments such as operations, product, and business intelligence can use Fluent for monitoring KPIs, tracking project progress, and deriving actionable insights from complex datasets.
Non-technical stakeholders—like project managers and executives—can access and interpret relevant metrics without learning SQL or other query languages, making data-centric culture more attainable across the organization.